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How does Machine Learning work?- Boubaker EL HADJ AMOR

The presentation discusses various machine learning methods outlined by Boubaker EL HADJ AMOR. By analyzing the data provided, machine learning algorithms can extract insights and make predictions based on the obtained insights.

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How does Machine Learning work?- Boubaker EL HADJ AMOR

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  1. Why do we need Machine learning? Boubaker EL HADJ AMOR

  2. Machine Learning A machine learning algorithm is a method of analyzing complex data patterns and predicting outcomes. Analyzing the data provided by machine learning algorithms can yield insights that can be used to come up with predictions.

  3. Boubaker EL HADJ AMOR discusses various methods of Machine learning: 3 4 Unsupervised Learning The Supervision of Learning Reinforcement of Machine Learning 1 2 Learning Semi- Supervised

  4. Supervision of Learning Supervised machine learning identifies behavioral patterns and makes forecasts based on historical data. Datasets are used in this system. The inputs and outputs of a system are controlled by parameters. Unsupervised Learning This method finds hidden structures in unlabeled data so that functions can be correctly interpreted. To determine the hidden structures in unlabeled data, it uses clustering or dimension reduction techniques. Grouping the data based on the same metric allows the clustering technique to be used.

  5. Learning Semi-Supervised By combining labeled and unlabeled data, semi- supervised machine learning improves learning accuracy. In cases where tagging data proves prohibitively expensive, semi-supervised learning may be the best option. Reinforcement of Machine Learning The teaching of autonomous driving using reinforcement learning algorithms in simulated environments, such as Q-learning, has been developed. Moreover, reinforcement learning utilizes the principle of iterative improvement as a method to improve learning.

  6. Boubaker EL HADJ AMOR conducts research in the fields of robotics and image processing. He resides in Poitiers, France. He teaches Signals and Systems and Image Processing at the Institute Higher of Aeronautics and Space (ISAE-ENSMA) in Poitiers. If you want to learn more about Machine Learning, Boubaker's expertise in the field can provide you with the information you require. Boubaker EL HADJ AMOR Lecturer and of vice-president UOIF.

  7. Watching Is Greatly Appreciated!!

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